科研之友
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摘要
Based on the stability analysis of the monitoring data of bridge structural health, the autoregressive moving average (ARMA) model is adopted to make an experimental analysis that the data of the typical deflection monitoring site of Masangxi Bridge in Chongqing (a part of Yangtze River) could be predicted and estimated. Combined with Akaike information criterion (AIC), the fifth-order ARMA model has been constructed in accordance with the required efficiency and precision, accomplishing the estimation in case of data distortion or default. Additionally, this model provides reliable monitoring samples for predicting the state of the bridge structure.
- 出版日期2010
- 单位重庆交通大学
